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The {\em power index} $Θ(Γ)$ of a graph $Γ$ is the least order of a group $G$ such that $Γ$ can embed into the power graph of $G$. Furthermore, this group $G$ is {\em $Γ$-optimal} if $G$ has order $Θ(Γ)$. We say that $Γ$ is {\em power-critical} if its order equals to $Θ(Γ)$. This paper focuses on the power indices of complete graphs, complete bipartite
Xuanlong Ma, Min Feng 0004, Kaishun Wang
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Random subgraphs of certain graph powers
We determine the limiting probability that a random subgraph of the Cartesian power Kan or of Ka,an is connected.
Lane Clark
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For a graph $G$, its $r$th power is constructed by placing an edge between two vertices if they are within distance $r$ of each other. In this note we study the amount of edges added to a graph by taking its $r$th power. In particular we obtain that, for $r\geq 3$, either the $r$th power is complete or "many" new edges are added.
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A Random Graph Model for Power Law Graphs [PDF]
We propose a random graph model which is a special case of sparserandom graphs with given degree sequences which satisfy a power law. This model involves only a small number of paramo eters, called logsize and log-log growth rate. These parameters capture some universal characteristics of massive graphs. From these parameters, various properties of the
Aiello, William, Chung, Fan, Lu, Linyuan
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A graph rewriting programming language for graph drawing [PDF]
This paper describes Grrr, a prototype visual graph drawing tool. Previously there were no visual languages for programming graph drawing algorithms despite the inherently visual nature of the process.
Rodgers, Peter
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Quotient graphs for power graphs [PDF]
In a previous paper of the first author a procedure was developed for counting the components of a graph through the knowledge of the components of one of its quotient graphs. Here we apply that procedure to the proper power graph \mathcal{P}_0(G ...
BUBBOLONI, DANIELA +2 more
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Graph Powering and Spectral Robustness
Spectral algorithms, such as principal component analysis and spectral clustering, typically require careful data transformations to be effective: upon observing a matrix $A$, one may look at the spectrum of $ψ(A)$ for a properly chosen $ψ$. The issue is that the spectrum of $A$ might be contaminated by non-informational top eigenvalues, e.g., due to ...
Abbe, Emmanuel +3 more
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Note On The Game Colouring Number Of Powers Of Graphs
We generalize the methods of Esperet and Zhu [6] providing an upper bound for the game colouring number of squares of graphs to obtain upper bounds for the game colouring number of m-th powers of graphs, m ≥ 3, which rely on the maximum degree and the ...
Andres Stephan Dominique, Theuser Andrea
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The Edit Distance Function of Some Graphs
The edit distance function of a hereditary property is the asymptotically largest edit distance between a graph of density p ∈ [0, 1] and . Denote by Pn and Cn the path graph of order n and the cycle graph of order n, respectively. Let C2n*C_{2n}^* be
Hu Yumei, Shi Yongtang, Wei Yarong
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d-Path Laplacians and Quantum Transport on Graphs
We generalize the Schrödinger equation on graphs to include long-range interactions (LRI) by means of the Mellin-transformed d-path Laplacian operators.
Ernesto Estrada
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